How we measured Americans’ engagement in public life
This piece explains how researchers measured Americans’ engagement in public life using multimode surveys, address-based sampling and cluster analysis.
A behind-the-scenes blog about research methods at Pew Research Center.
For our latest findings, visit pewresearch.org.
This piece explains how researchers measured Americans’ engagement in public life using multimode surveys, address-based sampling and cluster analysis.
A common challenge facing researchers is how to make complex subject matter accessible to a general audience.
Three widely cited coronavirus trackers differ in their methods and in the kinds of information they provide.
Data from Pew Research Center’s annual Global Attitudes Survey is publicly available.
This post walks through the process of weighting and analyzing a survey dataset.
This post provides tips on recoding and collapsing survey data and displaying weighted estimates of categorical variables.
Our new R package contains various functions that we use in our day-to-day survey work.
The average class size at a university conveys little about the experience of the average student there.
Mode differences present a challenge to analyzing trends over time. While these differences can vary, there are lessons to be learned.
How an outside measure of community type compares with Europeans’ own descriptions of where they live.
Identifying causal relationships from observational data is not easy. Still, researchers are often interested in examining the effects of policy changes.
To search or browse all of Pew Research Center findings and data by topic, visit pewresearch.org